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Gwkokab

A JAX-based gravitational-wave population inference toolkit for parametric models

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/learn @kokabsc/Gwkokab

README

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Installation | Documentation | Examples/Tutorials | FAQs | Citing GWKokab

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GWKokab is a JAX-based gravitational-wave population inference toolkit. It is designed to be a high-performance, flexible, easy-to-use library for sampling from a wide range of gravitational-wave population models. It is built on top of JAX, a high-performance numerical computing library, and is designed to be easily integrated into existing JAX workflows.

If you would like to contribute, please see the contributing guidelines.

Citing GWKokab

If you use GWKokab in your research, please cite the following:

@article{arxiv:2509.13638,
    author  = {{Qazalbash}, Meesum and {Zeeshan}, Muhammad and {O'Shaughnessy}, Richard},
    title   = {GWKokab: An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources},
    journal = {arXiv preprint arXiv:2509.13638},
    year    = {2025},
    url     = {https://arxiv.org/pdf/2509.13638v1}
}
@software{gwkokab2024github,
    author  = {{Qazalbash}, Meesum and {Zeeshan}, Muhammad and {O'Shaughnessy}, Richard},
    title   = {{GWKokab}: A JAX-based gravitational-wave population inference toolkit for parametric models},
    url     = {https://github.com/gwkokab/gwkokab},
    year    = {2024}
}
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GitHub Stars27
CategoryDevelopment
Updated6d ago
Forks1

Languages

Python

Security Score

95/100

Audited on Apr 2, 2026

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